snapshot...

modules/deeplearning/icing_cnn.py

@@ -8,7 +8,6 @@ import numpy as np
 import pickle
 import h5py
 
-USE_FLIGHT_ALTITUDE = False
 
 LOG_DEVICE_PLACEMENT = False
 
@@ -117,7 +116,7 @@ def build_residual_block(input, drop_rate, num_neurons, activation, block_name,
 
 class IcingIntensityNN:
     
-    def __init__(self, day_night='DAY', l1b_andor_l2='both', gpu_device=0, datapath=None):
+    def __init__(self, day_night='DAY', l1b_andor_l2='both', use_flight_altitude=False, gpu_device=0, datapath=None):
 
         if day_night == 'DAY':
             self.train_params_l1b = train_params_l1b_day
@@ -233,6 +232,8 @@ class IcingIntensityNN:
 
         self.DISK_CACHE = False
 
+        self.USE_FLIGHT_ALTITUDE = use_flight_altitude
+
         if datapath is not None:
             self.DISK_CACHE = False
             f = open(datapath, 'rb')
@@ -928,7 +929,7 @@ class IcingIntensityNN:
         # flat = tf.keras.layers.concatenate([flat, flat_1d, flat_anc])
         # flat = tf.keras.layers.concatenate([flat, flat_1d])
         # self.build_dnn(flat)
-        if USE_FLIGHT_ALTITUDE:
+        if self.USE_FLIGHT_ALTITUDE:
             flat = tf.keras.layers.concatenate([flat, self.inputs[1]])
         self.build_dnn(flat)
         self.model = tf.keras.Model(self.inputs, self.logits)